Abstract
Cloud robotics (CR) is currently a growing area in the robotic community. Indeed, the use of cloud computing to share data and resources of distributed robotic systems leads to the design and development of cloud robotic systems (CRS) which constitute useful technologies for a wide range of applications such as smart manufacturing, aid and rescue missions. However, in order to get coherent agent-to-cloud communications and efficient agent-to-agent collaboration within these CRS, there is a need to formalize the knowledge representation in CR. Hence, the use of ontologies provides a mean to define formal concepts and their relations in an interoperable way. This paper presents standard robotic ontologies and their extension in the CR domain as well as their possible implementations in the case of a real-world CR scenario.
| Original language | English |
|---|---|
| Article number | e25 |
| Journal | Knowledge Engineering Review |
| Volume | 35 |
| DOIs | |
| State | Published - 2 Jun 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author(s), 2020.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
ASJC Scopus subject areas
- Software
- Artificial Intelligence
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